2007
DOI: 10.1061/(asce)0733-9429(2007)133:10(1111)
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Analytic Stage-Discharge Formulas for Flow in Straight Prismatic Channels

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Cited by 46 publications
(33 citation statements)
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“…where τ b is local boundary shear stress and U ddepth averaged velocity equals to (Liao and Knight, 2008):…”
Section: Quasi-two-dimensional Skm Modelmentioning
confidence: 99%
See 1 more Smart Citation
“…where τ b is local boundary shear stress and U ddepth averaged velocity equals to (Liao and Knight, 2008):…”
Section: Quasi-two-dimensional Skm Modelmentioning
confidence: 99%
“…Uncertainty of model parameters is one of the major uncertainty sources in model results. Although several calibration and case studies has been done on the SKM over past decade (Tang and Knight, 2008;Liao and Knight, 2008;Seckin et al, 2009;Unal et al, 2010;Webr and Menendez, 2004;Knight et al, 2007) but the uncertainty of its simulation results in prediction of velocity distribution, boundary shear stress and discharge capacity has not yet been studied. So, the main aim of this paper is to develop a framework for analyzing uncertainties of quasi-two-dimensional SKM, which are resulted from its global calibration.…”
Section: Introductionmentioning
confidence: 99%
“…Knight et al (2007) analysed the modelling of the boundary shear in trapezoidal channels through investigating the effect of secondary flows on the boundary shear. Liao and Knight (2007) suggested a simple procedure for determining the analytic stage-discharge relationship, involving all three key parameters in SKM model, f, λ, and Г. Rezaei and Knight (2009) employed the SKM to compute the depth-averaged velocity, the boundary shear stress, and the stage-discharge relationship in overbank flow of compound channels with non-prismatic floodplains.…”
Section: Introductionmentioning
confidence: 99%
“…Flow depth in the main channel characterized by H and main channel depth was defined by h. Several ways for theoretical methods and soft computing techniques have been proposed for calculating and predicting the flow discharge in compound open channel. In field of theoretical approaches Single Channel Method (SCM) and divided channel method (DCM) as proxy of theoretical methods can be stated (Atabay and Knight 2006;Knight and Demetriou 1983;Knight and Shamseldin 2005;Knight et al 1984;Liao and Knight 2007;Tang et al 1999;Unal et al 2010). In the field of soft computing techniques using the Artificial Neural Networks (ANNs), M5 tree, Genetic Programming (GP), group method of data handling (GMDH) and Support Vector Machine (SVM) can be mentioned (Azamathulla and Zahiri 2012;Noori et al 2009Noori et al , 2016Osooli et al 2011;Parsaie et al 2015a, b;Sahu et al 2011;Unal et al 2010;Zahiri and Azamathulla 2014).…”
Section: Introductionmentioning
confidence: 99%